# Copyright 2020-2022 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ============================================================================
""" test array ops """
import pytest
from mindspore import nn


class Net(nn.Cell):
    def __init__(self):
        super().__init__()
        self.dy = nn.cosine_decay_lr(0.1, 0.01, 6, 2, 2)

    def construct(self):
        pass


def test_cosine_decay_lr():
    """
    Feature: cosine_decay_lr
    Description: raise ValueError when min_lr >= max_lr
    Expectation: success
    """
    with pytest.raises(ValueError):
        Net()
